Run the reviewer sub-agent for code review
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Run the reviewer sub-agent for code review
Look at the todo list, choose the next most appropriate actionable todo, execute exactly one todo, then stop and report back on what was done. After the work, reconcile the todo list so related todos reflect reality. Use this whenever the user wants you to pick the next task from todos and make progress without manually selecting one first.
Craft high-precision prompts and edit instructions for Nano Banana image workflows, especially when using the local nanobanana MCP tools for generation, editing, character consistency, or multi-image fusion. Use when the task needs structured prompts, reference-role assignment, layout-heavy image specs, typography-heavy images, iterative edit-first refinement, or reliable model/aspect/output-path choices.
Build and review frontend with accessibility, design constraints, and Vercel guidelines
Provides an incremental adoption strategy to migrate native iOS or Android apps to React Native or Expo using @callstack/react-native-brownfield for initial setup. Use when planning migration steps, packaging XCFramework/AAR artifacts, and integrating them into host apps.
Write commit messages to a temporary file and commit with `git commit -F`. Never use `git commit -m`.
Review UI code for Vercel Web Interface Guidelines compliance
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Automate browser interactions via the Playwright CLI. Use for web testing, form filling, screenshots, UI verification, and data extraction.
Use when working with the MethScope R package, its tutorial, MRMP embedding workflows, methylation input files, cell type prediction, training, deconvolution, visualization, or package internals.
**Status:** Example Usage (Non-normative Skill)
workleap-squide
Code reviews of git changes without creating actual PR.
**Status:** Non-normative (Advisory Only)
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Use when editing beamHO-bench paper profiles, source maps, assumption-backed research parameters, or paper-source registries so schema, profile JSON, sources JSON, and validation coverage stay traceable and synchronized.
Guide for authoring SAM aliases and vars files. Use when a user wants to create, edit, or review aliases.yaml or vars.yaml files for SAM, add new aliases to a .sam folder, or structure a new SAM namespace.
Rewrite user requests into clear, precise, and complete AI prompts. Use when a user asks to create, convert, or refine a prompt, or to restate a request as a specification for an AI model.
workleap-telemetry
Project configuration: atmos.yaml structure, all sections, discovery, merging, base paths, settings, imports, profiles
Component architecture: Terraform root modules, abstract components, component inheritance, versioning, mixins, catalog patterns
Use when embedding and customizing Unicorn Studio interactive animations on the web (embed, responsive sizing, performance, layering with UI, fallbacks).
Multi-chain wallet balance monitoring with threshold alerts. Tracks ETH and token balances across Base and Ethereum networks, comparing against historical snapshots to detect suspicious activity.
Go onchain in one API call. Free.
**AI model management and cost optimization for agent systems.**
End-to-end article delivery: markdown draft to X Articles-ready package.
Create an on-scroll animation trigger using IntersectionObserver with Tailwind-friendly animation classes and keyframes. Use when asked for scroll-reveal, animate-on-scroll, or sequencing element animations when they enter the viewport.
Register Basenames (.base.eth) for AI agents. Use when an agent needs to register a human-readable ENS-style name on Base for their wallet address. Supports checking availability, pricing, registration, and setting primary name.
Optimize tweets for organic reach using insights from Twitter's open-source algorithm.
**🛡️ Test your AI agent's security posture against adversarial attacks**
Use for Ariadne MCP-backed Kubernetes state questions: translate operational questions into Cypher, repair graph_query failures, and decide when graph_schema or graph_health is needed. Best for live or snapshot-backed graph data about resource relationships; do not use for codebase-only tasks or generic Kubernetes explanations.
Stack configuration: imports, inheritance, deep merging, locals, vars, settings, metadata, overrides
Packer orchestration: init/build/validate/inspect/output, machine image building, template management, source management
CI/CD: GitHub Actions, Spacelift, Atlantis, `atmos describe affected` for change detection
Component vendoring: vendor.yaml manifests, pulling from Git/S3/HTTP/OCI/Terraform Registry
Stripe MCP transaction operations skill. Execute transaction operations via Stripe MCP server (https://mcp.stripe.com): customer management, products/prices, invoices, payment links, subscriptions, refunds, dispute handling, balance queries. Triggers: user requests Stripe operations including create customer, create product, create invoice, generate payment link, query transactions, process refunds, manage subscriptions, view disputes, check balance, etc.
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Unified codebase quality review: merge readiness verdict + maintainability (Clean Code) + docs-vs-code consistency. Use for code review, quality check, refactor check, outdated docs check, or merge/production readiness.
Global evolution system for ship-faster skills. Uses hooks to capture context, failures, and session summaries, then generates patch suggestions (no auto edits) via skill-improver. Use when you want the skills to self-improve safely and continuously.
Create workflow-* skills by composing existing skills into end-to-end chains. Turns a user idea into a workflow_spec.md SSOT (via workflow-brainstorm), discovers available skills locally + from skills.sh, and generates a new workflow-<slug>/ skill package. Use when you want to design a new workflow, chain multiple skills into a flow, or turn scattered atomic skills into a resumable plan-then-confirm workflow.
You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.
Use when you need to turn a vague idea into a confirmed design spec before implementation (new feature/component/behavior change). First check project context, then ask one question at a time, provide 2-3 options with trade-offs, finally output design in segments (~200-300 words each) with confirmation after each. Triggers: brainstorm, clarify idea, design spec, refine concept, requirement clarification.
Guide FORGE to produce comprehensive, multi-page vanilla HTML/CSS/JS templates that look and feel like real applications — not thin landing pages.
Update generated artifacts safely without drifting from pipeline source of truth. Use when generated files or snapshots are modified.
Enforces ESLint, Prettier, and TypeScript compiler checks from the frontend package.json for JavaScript and TypeScript source. Use when creating or editing .js, .jsx, .ts, or .tsx files under fe/, when generating React or Vite frontend code in this repo, or when the user asks for lint-, format-, or tsc-compliant frontend changes.
Use when deciding whether a future ntn-sim-core follow-on, especially OMNeT++ / INET / estnet or other external-consumer/backend realism work, should be bootstrapped with OpenSpec instead of the repo's normal SDD/todo flow. Also use when a user explicitly mentions OpenSpec, opsx workflows, or wants a separate change/spec workflow for a new track without replacing existing ntn-sim-core authority.
Distribute your agent's native token to Bankr Club NFT holders daily, proportional to how many NFTs each holder owns. Holders with more NFTs get more of your token.
Manage Uniswap V4 LP positions on Base. Add, remove, monitor, auto-compound, and harvest fees — including Clanker protocol fee claims.
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
Dynamic configuration management for AI agents. Update settings without restarts, validate changes, and rollback safely.